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Tadashi Wadayama
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Year
A typical reconstruction limit for compressed sensing based on lp-norm minimization
Y Kabashima, T Wadayama, T Tanaka
Journal of Statistical Mechanics: Theory and Experiment 2009 (09), L09003, 2009
2002009
Trainable ISTA for sparse signal recovery
D Ito, S Takabe, T Wadayama
IEEE Transactions on Signal Processing 67 (12), 3113-3125, 2019
1872019
Gradient descent bit flipping algorithms for decoding LDPC codes
T Wadayama, K Nakamura, M Yagita, Y Funahashi, S Usami, I Takumi
IEEE Transactions on Communications 58 (6), 1610-1614, 2010
1832010
Low-density parity-check matrices for coding of correlated sources
J Muramatsu, T Uyematsu, T Wadayama
IEEE transactions on information theory 51 (10), 3645-3654, 2005
942005
Trainable projected gradient detector for massive overloaded MIMO channels: Data-driven tuning approach
S Takabe, M Imanishi, T Wadayama, R Hayakawa, K Hayashi
IEEE Access 7, 93326-93338, 2019
682019
A coded modulation scheme based on low density parity check codes
T Wadayama
IEICE transactions on fundamentals of electronics, communications and …, 2001
632001
Introduction to Low Density Parity Check Codes and Sum-Product Algorithm
T Wadayama
Technical Report of the Institute of Electronics, Information and …, 2001
562001
Coded M-FSK for power line communications
AJH Vinck, J Haering, T Wadayama
2000 IEEE International Symposium on Information Theory (Cat. No. 00CH37060 …, 2000
512000
Interior point decoding for linear vector channels based on convex optimization
T Wadayama
IEEE transactions on information theory 56 (10), 4905-4921, 2010
44*2010
Low density parity check matrices for coding of multiple access networks
J Muramatsu, T Uyematsu, T Wadayama
Proceedings 2003 IEEE Information Theory Workshop (Cat. No. 03EX674), 304-307, 2003
442003
Deep learning-aided projected gradient detector for massive overloaded MIMO channels
S Takabe, M Imanishi, T Wadayama, K Hayashi
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
392019
Gradient descent bit flipping algorithms for decoding LDPC codes
T Wadayama, K Nakamura, M Yagita, Y Funahashi, S Usami, I Takumi
2008 International Symposium on Information Theory and Its Applications, 1-6, 2008
392008
An analysis on non-adaptive group testing based on sparse pooling graphs
T Wadayama
2013 IEEE International Symposium on Information Theory, 2681-2685, 2013
35*2013
An iterative decoding algorithm of low density parity check codes for hidden Markov noise channels
T Wadayama
ISITA2000, Hawaii, Nov., 2000
342000
LP-decodable permutation codes based on linearly constrained permutation matrices
T Wadayama, M Hagiwara
IEEE Transactions on Information Theory 58 (8), 5454-5470, 2012
322012
A multilevel construction of permutation codes
T Wadayama, H AJ
IEICE transactions on fundamentals of electronics, communications and …, 2001
282001
A cutting-plane method based on redundant rows for improving fractional distance
M Miwa, T Wadayama, I Takumi
IEEE Journal on Selected Areas in Communications 27 (6), 1005-1012, 2009
272009
Deep learning-aided trainable projected gradient decoding for LDPC codes
T Wadayama, S Takabe
2019 IEEE International Symposium on Information Theory (ISIT), 2444-2448, 2019
262019
Upper and Lower Bounds on Maximum Nonlinearity of n-input m-output Boolean Function
T Wadayama, T Hada, K Wakasugi, M Kasahara
Designs, Codes and Cryptography 23, 23-34, 2001
252001
Deep learning-based average consensus
M Kishida, M Ogura, Y Yoshida, T Wadayama
IEEE Access 8, 142404-142412, 2020
212020
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Articles 1–20